Aggregation Functions#
For an explanation of nested functions, see the guide here.
Average#
Take the average of a property.
Query Request:
{
"select": [
{
"function": "avg",
"alias": "<alias_name> [optional string]",
"parameters": {
"property": "<attribute_name> [string or nested]"
}
}
]
}
Query Response:
{
"query_result": [
{
"<function_name/alias_name>": "<avg_value> [float]"
}
]
}
Sample Request:
{
"select": [
{
"function": "avg",
"alias": "avgAge",
"parameters": {
"property": "age"
}
}
]
}
Sample Response:
{
"query_result": [
{
"avgAge": 55.45
}
]
}
Average of Absolute Values#
Take the average of absolute values of a property.
Query Request:
{
"select": [
{
"function": "avgAbs",
"alias": "<alias_name> [optional string]",
"parameters": {
"property": "<attribute_name> [string or nested]"
}
}
]
}
Query Response:
{
"query_result": [
{
"<function_name/alias_name>": "<avg_abs_value> [float]"
}
]
}
Sample Request:
{
"select": [
{
"function": "avgAbs",
"alias": "avgafloat",
"parameters": {
"property": "afloat"
}
}
]
}
Sample Response:
{
"query_result": [
{
"avgafloat": 55.45
}
]
}
Max#
Take the max of a property.
Query Request:
{
"select": [
{
"function": "max",
"alias": "<alias_name> [optional string]",
"parameters": {
"property": "<attribute_name> [string or nested]"
}
}
]
}
Query Response:
{
"query_result": [
{
"<function_name/alias_name>": "<max_value> [float]"
}
]
}
Sample Request:
{
"select": [
{
"function": "max",
"alias": "maxAge",
"parameters": {
"property": "age"
}
}
]
}
Sample Response:
{
"query_result": [
{
"maxAge": 55.45
}
]
}
Min#
Take the min of a property.
Query Request:
{
"select": [
{
"function": "min",
"alias": "<alias_name> [optional string]",
"parameters": {
"property": "<attribute_name> [string or nested]"
}
}
]
}
Query Response:
{
"query_result": [
{
"<function_name/alias_name>": "<min_value> [float]"
}
]
}
Sample Request:
{
"select": [
{
"function": "min",
"alias": "minAge",
"parameters": {
"property": "age"
}
}
]
}
Sample Response:
{
"query_result": [
{
"minAge": 17
}
]
}
Sum#
Take the sum of a property.
Query Request:
{
"select": [
{
"function": "sum",
"alias": "<alias_name> [optional string]",
"parameters": {
"property": "<attribute_name> [string or nested]"
}
}
]
}
Query Response:
{
"query_result": [
{
"<function_name/alias_name>": "<sum_value> [float]"
}
]
}
Sample Request:
{
"select": [
{
"function": "sum",
"alias": "sumAge",
"parameters": {
"property": "age"
}
}
]
}
Sample Response:
{
"query_result": [
{
"sumAge": 1745
}
]
}
Variance#
Take the variance of a property.
Query Request:
{
"select": [
{
"function": "variance",
"alias": "<alias_name> [optional string]",
"parameters": {
"property": "<attribute_name> [string or nested]"
}
}
]
}
Query Response:
{
"query_result": [
{
"<function_name/alias_name>": "<variance> [float]"
}
]
}
Sample Request:
{
"select": [
{
"function": "variance",
"alias": "varAge",
"parameters": {
"property": "age"
}
}
]
}
Sample Response:
{
"query_result": [
{
"varAge": 10.234
}
]
}
Count#
Count a property.
Query Request:
{
"select": [
{
"function": "count",
"alias": "<alias_name> [optional string]"
}
]
}
Query Response:
{
"query_result": [
{
"<function_name/alias_name>": "<count> [int]"
}
]
}
Sample Request:
{
"select": [
{
"function": "count"
}
],
"filter": [
{
"property": "income",
"comparator": "lt",
"value": 90000
}
]
}
Sample Response:
{
"query_result": [
{
"count": 5432
}
]
}
Count If#
Conditionally count a property.
Query Request:
{
"select": [
{
"function": "countIf",
"alias": "<alias_name> [optional string]",
"parameters": {
"property": "<attribute_name> [string or nested]",
"comparator": "<comparator> [string]",
"value": "<string or number to compare with property>"
}
}
]
}
Query Response:
{
"query_result": [
{
"<function_name/alias_name>": "<count> [int]"
}
]
}
See Filter Comparators for a list of valid comparators.
Sample Request:
{
"select": [
{
"function": "countIf",
"alias": "michigan_count",
"parameters": {
"property": "state",
"comparator": "eq",
"value": "michigan"
}
}
]
}
Sample Response:
{
"query_result": [
{
"michigan_count": 5432
}
]
}
Categories Count#
Count the number of categories of a property. To be used for discrete features.
Query Request:
{
"select": [
{
"function": "categoriesCount",
"alias": "<alias_name> [optional string]",
"parameters": {
"property": "<attribute_name> [string]"
}
}
]
}
Query Response:
{
"query_result": [
{
"<function_name/alias_name>": "<categories_count> [int]"
}
]
}
Sample Request:
{
"select": [
{
"function": "categoriesCount",
"alias": "categoriesCountZipcode",
"parameters": {
"property": "zipcode"
}
}
]
}
Sample Response:
{
"query_result": [
{
"categoriesCountZipcode": 732
}
]
}
Rate#
Calculates the rate of a condition on a column.
Query Request:
{
"select": [
{
"function": "rate",
"alias": "<alias_name> [optional string]",
"parameters": {
"property": "<attribute_name> [string or nested]",
"comparator": "<comparator> [string]",
"value": "<string or number to compare with property>"
}
}
]
}
Query Response:
{
"query_result": [
{
"<function_name/alias_name>": "<rate_value> [float]"
}
]
}
See Filter Comparators for a list of valid comparators.
Sample Request: Calculate the positive predictive rate, with predictions classified as positive when pos_class above .5 (standard definition of positive predictive rate).
{
"select": [
{
"function": "rate",
"alias": "pos_rate",
"parameters": {
"property": "pos_class",
"comparator": "gt",
"value": 0.5
}
}
]
}
Response:
{
"query_result": [
{
"pos_rate": "0.1"
}
]
}
Distribution#
Return the distribution of a column with a specified number of bins.
You may specify one of either num_bins or bin_thresholds.
For num_bins,, if there is not enough data, fewer than the specified number of bins will be returned.
For bin_thresholds, there will be a bucket below your lowest bin and a bucket above your highest bin, i.e. n+1 buckets when supplied n thresholds.
Query Request with num_bins:
{
"select": [
{
"function": "distribution",
"alias": "<alias_name> [optional string]",
"parameters": {
"property": "<attribute_name> [string or nested]",
"num_bins": "<number_of_bins> [int]"
}
}
]
}
Query Request with bin_thresholds:
{
"select": [
{
"function": "distribution",
"alias": "<alias_name> [optional string]",
"parameters": {
"property": "<attribute_name> [string or nested]",
"bin_thresholds": "<list_of_floats> [List[int]]"
}
}
]
}
Query Response:
{
"query_result": [
{
"<function_name/alias_name>": [
{
"lower": "<bin_lower_bound> [float]",
"upper": "<bin_upper_bound> [float]",
"count": "<bin_count> [float]"
}
]
}
]
}
Lower bounds are inclusive while upper bounds are exclusive, so a bucket response like this:
{
"lower": 30,
"upper": 50,
"count": "<bin_count> [float]"
}
would include values such as 30, 40, or 49.999, but not 50.
Sample Request with num_bins:
{
"select": [
{
"function": "distribution",
"parameters": {
"property": "FICO_predicted",
"num_bins": 50
}
}
]
}
Sample Response with num_bins:
{
"query_result": [
{
"distribution": [
{
"lower": 500,
"upper": 600,
"count": 1000
},
{
"lower": 600,
"upper": 700,
"count": 5000
},
{
"lower": 700,
"upper": 800,
"count": 2000
},
{
"lower": 800,
"upper": 850,
"count": 550
}
]
}
]
}
Sample Request with bin_thresholds:
{
"select": [
{
"function": "distribution",
"parameters": {
"property": "FICO_predicted",
"bin_thresholds": [600, 700]
}
}
]
}
Sample Response with bin_thresholds:
{
"query_result": [
{
"distribution": [
{
"upper": 600,
"count": 1000
},
{
"lower": 600,
"upper": 700,
"count": 5000
},
{
"lower": 700,
"count": 2550
}
]
}
]
}
Arg Max#
Take the value of a property at which a different property as at its maximum.
Query Request:
{
"select": [
{
"function": "argMax",
"alias": "<alias_name> [optional string]",
"parameters": {
"argument": "<attribute_name> [string or nested]",
"value": "<attribute_name> [string or nested]"
}
}
]
}
Query Response:
{
"query_result": [
{
"<function_name/alias_name>": "<arg_max_value> [constant]"
}
]
}
Sample Request:
{
"select": [
{
"function": "argMax",
"alias": "mostExpensiveZipCode",
"parameters": {
"argument": "zipCode",
"value": "homePrice"
}
}
]
}
Sample Response:
{
"query_result": [
{
"mostExpensiveZipCode": 94027
}
]
}
Arg Min#
Take the value of a property at which a different property as at its minimum.
Query Request:
{
"select": [
{
"function": "argMin",
"alias": "<alias_name> [optional string]",
"parameters": {
"argument": "<attribute_name> [string or nested]",
"value": "<attribute_name> [string or nested]"
}
}
]
}
Query Response:
{
"query_result": [
{
"<function_name/alias_name>": "<arg_min_value> [constant]"
}
]
}
Sample Request:
{
"select": [
{
"function": "argMin",
"alias": "leastExpensiveZipCode",
"parameters": {
"argument": "zipCode",
"value": "homePrice"
}
}
]
}
Sample Response:
{
"query_result": [
{
"leastExpensiveZipCode": 46953
}
]
}
Any If#
Returns the selected property for any row which matches the provided condition. A common use case for this function is querying data with unique identifiers.
Query Request:
{
"select": [
{
"function": "anyIf",
"alias": "<alias_name> [optional string]",
"parameters": {
"property": "<attribute_name> [string or nested]",
"comparator": "<comparator> [string]",
"value": "<string or number to compare with property>",
"result": "<attribute_name> [string or nested]"
}
}
]
}
Query Response:
{
"query_result": [
{
"<function_name/alias_name>": "<result> [constant]"
}
]
}
See Filter Comparators for a list of valid comparators.
Sample Request:
{
"select": [
{
"function": "anyIf",
"alias": "some_michigan_price",
"parameters": {
"property": "state",
"comparator": "eq",
"value": "michigan",
"result": "homePrice"
}
}
]
}
Sample Response:
{
"query_result": [
{
"some_michigan_price": 459312
}
]
}
Regional Feature Importance#
Returns the regional importance score for a particular attribute. This is the average of the absolute value of the explainability value for all the inferences. This is only available if explainability has been enabled for the model.
Query Request:
{
"select": [
{
"function": "regionalFeatureImportance",
"alias": "<alias_name> [optional string]",
"parameters": {
"attribute_name": "<pipeline_input_attribute_name> [string]",
"predicted_attribute_name": "<predicted_attribute_name> [string]",
"explanation_algorithm": "[lime|shap]"
}
}
]
}
Query Response:
{
"query_result": [
{
"<function_name/alias_name>": "<feature_importance_value> [float]"
}
]
}
Sample Request:
{
"select": [
{
"function": "regionalFeatureImportance",
"parameters": {
"attribute_name": "AGE",
"predicted_attribute_name": "prediction_0",
"explanation_algorithm": "lime"
}
}
],
"filter": [
{
"property": "inference_timestamp",
"comparator": "gte",
"value": "2020-12-01T10:00:00Z"
},
{
"property": "inference_timestamp",
"comparator": "lt",
"value": "2020-12-22T11:00:00Z"
}
]
}
Sample Response:
{
"query_result": [
{
"AGE": 0.001406118694451489
}
]
}
Regional Feature Importances#
Returns the regional importance scores for all of the pipeline input attributes. This is the average of the absolute value of the explainability value for all the inferences for each pipeline input attribute. This is only available if explainability has been enabled for the model.
Query Request:
{
"select": [
{
"function": "regionalFeatureImportances",
"alias": "<alias_name> [optional string]",
"parameters": {
"predicted_attribute_name": "<predicted_attribute_name> [string]",
"explanation_algorithm": "[lime|shap]"
}
}
]
}
Query Response:
{
"query_result": [
{
"<attribute_name>": "<feature_importance_value> [float]",
"<attribute_name>": "<feature_importance_value> [float]",
"<attribute_name>": "<feature_importance_value> [float]",
"<attribute_name>": "<feature_importance_value> [float]",
"<attribute_name>": "<feature_importance_value> [float]"
}
]
}
Sample Request:
{
"select": [
{
"function": "regionalFeatureImportances",
"parameters": {
"predicted_attribute_name": "prediction_0",
"explanation_algorithm": "lime"
}
}
],
"filter": [
{
"property": "inference_timestamp",
"comparator": "gte",
"value": "2020-12-01T10:00:00Z"
},
{
"property": "inference_timestamp",
"comparator": "lt",
"value": "2020-12-22T11:00:00Z"
}
]
}
Sample Response:
{
"query_result": [
{
"explainer_attribute": "PAY_0",
"regionalFeatureImportance": 0.055036517803945396
},
{
"explainer_attribute": "PAY_2",
"regionalFeatureImportance": 0.026880464089676884
},
{
"explainer_attribute": "PAY_3",
"regionalFeatureImportance": 0.024027941129616155
},
{
"explainer_attribute": "LIMIT_BAL",
"regionalFeatureImportance": 0.022367882999425544
},
{
"explainer_attribute": "PAY_AMT2",
"regionalFeatureImportance": 0.019145911247181836
},
{
"explainer_attribute": "PAY_AMT1",
"regionalFeatureImportance": 0.019052984358794038
},
{
"explainer_attribute": "PAY_AMT3",
"regionalFeatureImportance": 0.012942233755875516
},
{
"explainer_attribute": "PAY_5",
"regionalFeatureImportance": 0.011911442095349226
},
{
"explainer_attribute": "PAY_4",
"regionalFeatureImportance": 0.010464962507962139
},
{
"explainer_attribute": "PAY_6",
"regionalFeatureImportance": 0.00891260261770653
},
{
"explainer_attribute": "BILL_AMT4",
"regionalFeatureImportance": 0.007211523900878019
},
{
"explainer_attribute": "BILL_AMT5",
"regionalFeatureImportance": 0.006279087267628024
},
{
"explainer_attribute": "BILL_AMT1",
"regionalFeatureImportance": 0.006221344024007549
},
{
"explainer_attribute": "PAY_AMT4",
"regionalFeatureImportance": 0.005310133724715099
},
{
"explainer_attribute": "PAY_AMT6",
"regionalFeatureImportance": 0.004135643379284112
},
{
"explainer_attribute": "MARRIAGE",
"regionalFeatureImportance": 0.004089899824740581
},
{
"explainer_attribute": "EDUCATION",
"regionalFeatureImportance": 0.003931984513777395
},
{
"explainer_attribute": "PAY_AMT5",
"regionalFeatureImportance": 0.0033734464617669853
},
{
"explainer_attribute": "SEX",
"regionalFeatureImportance": 0.0029222783744727687
},
{
"explainer_attribute": "BILL_AMT6",
"regionalFeatureImportance": 0.002707692309829875
},
{
"explainer_attribute": "BILL_AMT2",
"regionalFeatureImportance": 0.001955133839877692
},
{
"explainer_attribute": "BILL_AMT3",
"regionalFeatureImportance": 0.001779632159224476
},
{
"explainer_attribute": "AGE",
"regionalFeatureImportance": 0.001406118694451494
}
]
}